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Institute of Computer Graphics
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2020

  • ConfusionFlow: A Model-Agnostic Visualization for Temporal Analysis of Classifier Confusion Hinterreiter, A., Ruch, P., Stitz, H., Ennemoser, M., Bernard, J., Strobelt, H., Streit, M.
    IEEE Transactions on Visualization and Computer Graphics, 28(2): 1222-1236, 2022
     

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  • Survey on the Analysis of User Interactions and Visualization Provenance K. Xu, A. Ottley, C. Walchshofer, M. Streit, R. Chang, and J. Wenskovitch. Survey on the Analysis of User Interactions and Visualization Provenance. Computer Graphics Forum, 39(3):757–783, 2020.doi: 10.1111/cgf.14035

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  • Fast Automatic Visibility Optimization for Thermal Synthetic Aperture Visualization I. Kurmi, D. C. Schedl and O. Bimber, "Fast Automatic Visibility Optimization for Thermal Synthetic Aperture Visualization," in IEEE Geoscience and Remote Sensing Letters, doi: 10.1109/LGRS.2020.2987471.

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  • Airborne Optical Sectioning for Nesting Observation Schedl, D. C., Kurmi, I., and Bimber, O., Airborne Optical Sectioning for Nesting Observation. Nature Sci. Rep. 10, 7254; 2020.

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  • InstanceFlow: Visualizing the Evolution of
    Classifier Confusion at the Instance Level Pühringer, M., Hinterreiter, A., Streit, M.
    2020 IEEE Visualization Conference (VIS), 2020, pp. 291-295, doi: 10.1109/VIS47514.2020.00065.

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  • Projective Latent Interventions for Understanding and Fine-Tuning Classifiers Hinterreiter, A., Streit M., Kainz, B. In: Cardoso J. et al. (eds), Lecture Notes in Computer Science, vol 12446. Interpretable and Annotation-Efficient Learning for Medical Image Computing (pp. 13-22). Springer, 2020. DOI: 10.1007/978-3-030-61166-8_2.

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